Principal Scientist, R&D - Knowledge & Information Excellence

Job description

​​Lead R&D capability development for knowledge and information management practices and digital solutions that enable establishing standards and scalable approaches that improve R&D operations. ​Partner with global and cross-functional stakeholders to identify complex business needs and lead the development of targeted solutions supporting product and packaging development, cost optimization, sustainability, regulatory compliance, and other strategic priorities. ​Integrate and interpret complex data from multiple systems, translating findings into visualizations, reports, insights, and recommendations that enable action-oriented recommendations and measurable business outcomes. ​Design and implement scalable data engineering, programming, and automation solutions that simplify data acquisition, analysis, reporting, and access for users. ​Identify, assess, and prioritize digital, AI, and machine-learning for knowledge and information use cases, partnering with appropriate stakeholders to translate high-value opportunities into practical R&D solutions. ​Establish and sustain governance for R&D institutional knowledge, ensuring that critical scientific and technical information is preserved, searchable, accessible, and effectively reused. ​Lead capability building and adoption for knowledge-management, analytics, and digital tools through training, consultation, communities of practice, and ongoing stakeholder engagement. ​Monitor solution adoption and business impact, using performance measures and stakeholder feedback to continuously improve R&D knowledge and information capabilities.​ ​​Bachelor's degree in information management, computer science, data science, engineering, business, or a related field, with 6 or more years of relevant experience in data analytics, knowledge management, digital transformation, R&D systems, or a related technical field.

A master's degree or advanced technical qualification is preferred. ​Demonstrated expertise in data analytics, knowledge management, data engineering, or digital transformation within R&D or another technical environment. ​Strong communication, analytical thinking, process design, visualization, and problem-solving capabilities. ​Proven ability to lead, coach, and collaborate with others, driving results through influence and subject matter expertise. ​Proven ability to translate complex business requirements into scalable data, analytics, automation, or digital solutions. ​Demonstrated ability to manage multiple complex priorities and communicate recommendations to technical and business stakeholders. ​Advanced proficiency in one or more

Microsoft data and Power Platform tools, with working knowledge of Power BI, Power Apps, Power Automate, SharePoint, Excel, and Power Pivot. ​Working proficiency in programming and data technologies such as SQL and Python. ​Familiarity with SAP, product lifecycle management systems, and global specification and data processes. ​Strong understanding of artificial intelligence (AI) and machine-learning concepts, with demonstrated interest in applying emerging technologies to business and R&D challenges. ​Experience with

Agile methodologies, Snowflake, ServiceNow, electronic laboratory notebooks, and regulatory landscape product-development environments is preferred. ​